[vc_row row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” parallax_content_width=”in_grid” angled_section=”no” angled_section_position=”both” angled_section_direction=”from_left_to_right” text_align=”left” background_image_as_pattern=”without_pattern” row_negative_margin=””][vc_column width=”1\/1″][vc_column_text]<\/p>\n
[\/vc_column_text][vc_separator type=”transparent” position=”center” color=”” transparency=”” thickness=”” width=”” width_in_percentages=”” up=”35″ down=””][vc_row_inner row_type=”row” use_as_box=”” type=”full_width” text_align=”left” row_negative_margin=””][vc_column_inner el_class=”” width=”1\/2″][vc_column_text]<\/p>\n
Big data brings with it significant challenges to medical research. Large healthcare and life science organizations need to mine billions of data points representing millions of unique patients. This can be a time consuming, costly, and frustrating process. Teams of researchers may spend weeks formulating complex questions and queries necessary for accurate cohort identification and analysis. Researchers may have to wait hours or days, in some cases weeks, before they have access to their results. Time and costs matter in the medical research world, where resources and budgets are limited. Affordable scalability, combined with outstanding abilities to ingest incompatible data and then quickly identify and present results, is a must for the medical research professional.<\/p>\n
[\/vc_column_text][\/vc_column_inner][vc_column_inner el_class=”” width=”1\/2″][vc_single_image border_color=”grey” img_link_large=”” img_link_target=”_self” img_size=”full” image=”17569″][vc_column_text]<\/p>\n
With IMAT Solutions, researchers can produce and run sophisticated queries and reports in real time.<\/p>\n
[\/vc_column_text][vc_separator type=”transparent” position=”center” color=”” transparency=”” thickness=”” width=”” width_in_percentages=”” up=”35″ down=””][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” header_style=”” parallax_content_width=”in_grid” anchor=”” in_content_menu=”” content_menu_title=”” content_menu_icon=”” angled_section=”no” angled_section_position=”both” angled_section_direction=”from_left_to_right” text_align=”left” video=”” video_overlay=”” video_overlay_image=”” video_webm=”” video_mp4=”” video_ogv=”” video_image=”” background_image=”” background_image_as_pattern=”without_pattern” section_height=”” parallax_speed=”” background_color=”” border_color=”” row_negative_margin=”” side_padding=”” parallax_side_padding=”” padding_top=”” padding_bottom=”” color=”” hover_color=”” more_button_label=”” less_button_label=”” button_position=”” css_animation=”” transition_delay=”” el_id=””][vc_column width=”1\/1″][vc_separator type=”normal” position=”center” color=”” transparency=”” thickness=”4″ width=”” width_in_percentages=”” up=”17″ down=”21″][\/vc_column][\/vc_row][vc_row row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” header_style=”” parallax_content_width=”in_grid” anchor=”” in_content_menu=”” content_menu_title=”” content_menu_icon=”” angled_section=”no” angled_section_position=”both” angled_section_direction=”from_left_to_right” text_align=”left” video=”” video_overlay=”” video_overlay_image=”” video_webm=”” video_mp4=”” video_ogv=”” video_image=”” background_image=”” background_image_as_pattern=”without_pattern” section_height=”” parallax_speed=”” background_color=”” border_color=”” row_negative_margin=”” side_padding=”” parallax_side_padding=”” padding_top=”” padding_bottom=”” color=”” hover_color=”” more_button_label=”” less_button_label=”” button_position=”” css_animation=”” transition_delay=”” el_id=””][vc_column width=”1\/1″][vc_column_text]<\/p>\n
[\/vc_column_text][vc_separator type=”transparent” position=”center” color=”” transparency=”” thickness=”” width=”” width_in_percentages=”” up=”35″ down=””][vc_column_text]IMAT is a new, disruptive technology to the field of data management and decision support. Our design isn\u2019t based on an early- or late-binding approach. It is a unique architecture, offering a flexible, non-rigid, pattern-based, indexing system that delivers disruptive speed, accepts data from incompatible sources, delivers superior accuracy during data normalization and validation processes, and provides a user interface that non-technical medical professionals can learn to use.<\/p>\n
<\/p>\n
Through the six-step IMAT data ingestion process \u2013 Connect, Collect, Validate, Normalize, Index, and Codify \u2013 all data, no matter the source, the format or data type can be aggregated into one common data store. This includes narrative information captured as unstructured data. The IMAT platform\u00a0can capture, standardize and make available unstructured and structured data for real-time search and reporting.<\/p>\n
<\/p>\n
Processing time for complex queries across millions or billions of records has been compressed for IMAT users. In performance and accuracy benchmarking, the IMAT system identified complex cohort sets in 2 to 20 seconds, across 2 billion records, representing 19 million patients from 20 data sources. Competing systems took 20 hours to execute the same queries. Imagine running and reviewing your cohort analysis results during your lunch hour.<\/p>\n
<\/p>\n
Other Benefits Include:<\/strong><\/p>\n <\/p>\n Accuracy\u00a0<\/strong><\/span>\u2013 The IMAT platform ensures that all data is indexed at its most granular level. Working with our clients, they pre-define a set of concept recognition, normalization, validation and code mapping rules, which are run against the data during intake to ensure a high degree of data accuracy. During a monitored ETL (extract, transform, load) process, the IMAT platform\u00a0was able to take in 2,000 records per second, which included running 15 validation rules against each record, while running on a single server. Accurate data leads to more accurate analysis and decision making.<\/p>\n <\/p>\n Comprehensive <\/strong><\/span>\u2013 Leveraging a natural language processor and a core indexing engine, the IMAT platform\u00a0is able to work with both the structured and previously untapped unstructured data found within all healthcare organizations.<\/p>\n <\/p>\n Big Data<\/span>\u00a0<\/strong>\u2013 Billions of rows of data can be stored on a single server running the IMAT platform. This capability dramatically reduces the strain placed on an organization in terms of budget and efficient resource utilization. Even more impressive, IMAT\u00a0utilizes approximately 10% of CPU capacity when running even the most complex queries and reports associated with medical research.<\/p>\n <\/p>\n IMAT provides medical researchers with disruptive technology. Complex query and deep data mining speed, accuracy, and scalability deliver unparalleled insight into critical data with unmatched efficiencies \u2013 propelling healthcare and life sciences research into the next generation.[\/vc_column_text][vc_separator type=”transparent” position=”center” color=”” transparency=”” thickness=”” width=”” width_in_percentages=”” up=”35″ down=””]Schedule a Demo ><\/a>[\/vc_column][\/vc_row][vc_row row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” header_style=”” parallax_content_width=”in_grid” anchor=”” in_content_menu=”” content_menu_title=”” content_menu_icon=”” angled_section=”no” angled_section_position=”both” angled_section_direction=”from_left_to_right” text_align=”left” video=”” video_overlay=”” video_overlay_image=”” video_webm=”” video_mp4=”” video_ogv=”” video_image=”” background_image=”” background_image_as_pattern=”without_pattern” section_height=”” parallax_speed=”” background_color=”” border_color=”” row_negative_margin=”” side_padding=”” parallax_side_padding=”” padding_top=”” padding_bottom=”” color=”” hover_color=”” more_button_label=”” less_button_label=”” button_position=”” css_animation=”” transition_delay=”” el_id=””][vc_column width=”1\/1″][vc_separator type=”transparent” position=”center” width_in_percentages=”” up=”50″][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":" [vc_row row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” parallax_content_width=”in_grid” angled_section=”no” angled_section_position=”both” angled_section_direction=”from_left_to_right” text_align=”left” background_image_as_pattern=”without_pattern” row_negative_margin=””][vc_column width=”1\/1″][vc_column_text] Solutions Affordable Scalability, Fast Results, Comprehensive Data [\/vc_column_text][vc_separator type=”transparent” position=”center” color=”” transparency=”” thickness=”” width=”” width_in_percentages=”” up=”35″ down=””][vc_row_inner row_type=”row” use_as_box=”” type=”full_width” text_align=”left” row_negative_margin=””][vc_column_inner el_class=”” width=”1\/2″][vc_column_text] Big data brings with it significant challenges to medical research. Large healthcare and life science organizations need to mine billions of data points representing millions of unique patients. This can be a time consuming, costly, and frustrating process. Teams…<\/p>\n","protected":false},"author":8,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"acf":[],"_links":{"self":[{"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/pages\/17098"}],"collection":[{"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/comments?post=17098"}],"version-history":[{"count":14,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/pages\/17098\/revisions"}],"predecessor-version":[{"id":18683,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/pages\/17098\/revisions\/18683"}],"wp:attachment":[{"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/media?parent=17098"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}